Science education researchers argue for encouraging multilingual students’ use of different linguistic and multimodal resources to make meaning of scientific practices. However, multilingual students need to internalize beliefs that they can freely draw on these asset forms of resources, so that they can consistently adopt sustainable multilingual and multimodal practices. Complementing the recent research efforts on measuring teachers’ beliefs about epistemic use of languages in science, we reported a study that develop and validate a Likert-scale instrument that measures students’ beliefs about equitable and epistemic use of languages in learning science. The instrument was initially piloted to 191 junior secondary students, and then was revised and administered to 981 junior secondary students in Hong Kong. Supported by exploratory and confirmatory factor analysis, the instrument inherited four dimensions: beliefs about constitutive role of language in scientific practices, beliefs about multiple modalities in science learning, heteroglossic beliefs about language use in learning science and inclusive beliefs about use of multiple languages in collaborative discussion. The instrument inherited satisfactory content and construct validity, while we also provided evidence that such an instrument was sensitive to different linguistic contexts. Hence, we argue that the instrument can potentially measure the outcome of translanguaging-based science education intervention and comparing students’ beliefs under a range of linguistic contexts worldwide. Copyright © 2025 The Author(s).

This study explores the integration of drone technology into STEM education through the development and evaluation of the Drone Technology Enabled STEM Curriculum (DTESC). Grounded in “dronagogy”, a pedagogical framework that utilizes drones to enhance learning, DTESC effectively incorporates drone technology within science, mathematics, technology, and the humanities. The curriculum is structured to progress from multidisciplinary exploration to interdisciplinary integration, ultimately culminating in transdisciplinary applications. Sixteen Grade 9–10 students from a secondary school in Hong Kong participated in the study, engaging in activities such as designing drone-assisted water sampling systems and formulating entrepreneurial proposals for future applications. Employing mixed research methods, the study assessed the curriculum’s impact across cognitive, psychomotor, and affective learning domains. Results indicated high levels of student engagement and satisfaction, alongside significant improvements in psychomotor and affective skills. However, enhancements in cognitive learning outcomes, particularly in mathematics and programming, are necessary. This research offers valuable insights into the implementation of dronagogy to foster cross-disciplinary STEM education. Copyright © 2025 The Author(s).

Science, technology, engineering, and mathematics (STEM) education in Hong Kong was proposed by Carrie Lam, the Chief Executive of Hong Kong in 2015 and later optimized in 2022 as science, technology, engineering, arts, and mathematics (STEAM) education. The goal of STEAM education is to cultivate students’ solid STEM knowledge to support Hong Kong’s rapid economic and technological development to meet contemporary world challenges; however, the role and educational purpose of the arts (i.e., the “A”) in STEAM education have not been stated clearly. I share three teaching examples and discuss how to integrate the arts into STEM education and cultivate students’ creativity through hands-on activities. To implement STEAM education, teachers could begin with the subjects they teach and then explore ways to integrate the other four areas to create STEAM education. Copyright © 2025 by Yichien Cooper and Alice Lai.

Programming education has become essential in primary schools, yet students' perceptions vary significantly across different achievement levels. While teacher support is crucial for learning, little is known about how it influences students' attitudes and flow experience across different achievement groups in programming education. This study examined the interrelationships among perceived teacher support, students' attitudes, and flow experience in programming learning across different achievement levels. Data were collected through surveys from 549 students across 43 Hong Kong primary schools. Students were categorised into three groups based on their programming achievement levels: above-average, average, and below-average. A multi-group mediation analysis was conducted to examine the relationships between variables. The above-average group showed significantly more positive perceptions across all variables than other groups. Students’ attitudes mediated the relationship between perceived teacher support and flow experience differently across achievement groups. The findings highlight the importance of differentiated teacher support strategies across achievement tiers and suggest that fostering positive attitudes towards programming is crucial for all achievement levels, particularly through enhancing the perceived usefulness of programming. Copyright © 2025 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.

In recent years, AI technologies have been developed to promote students' self-regulated learning (SRL) and proactive learning in digital learning environments. This paper discusses a comparative study between generative AI-based (SRLbot) and rule-based AI chatbots (Nemobot) in a 3-week science learning experience with 74 Secondary 4 students in Hong Kong. The experimental group used SRLbot to maintain a regular study habit and facilitate their SRL, while the control group utilized rule-based AI chatbots. Results showed that SRLbot effectively enhanced students' science knowledge, behavioural engagement and motivation. Quantile regression analysis indicated that the number of interactions significantly predicted variations in SRL. Students appreciated the personalized recommendations and flexibility of SRLbot, which adjusted responses based on their specific learning and SRL scenarios. The ChatGPT-enhanced instructional design reduced learning anxiety and promoted learning performance, motivation and sustained learning habits. Students' feedback on learning challenges, psychological support and self-regulation behaviours provided insights into their progress and experience with this technology. SRLbot's adaptability and personalized approach distinguished it from rule-based chatbots. The findings offer valuable evidence for AI developers and educators to consider generative AI settings and chatbot design, facilitating greater success in online science learning. Copyright © 2024 The Authors.

This study designed and evaluated a pedagogical innovation which used Scratch coding to foster Grade 4 students to co-develop subject knowledge and computational thinking (CT) in English Language classrooms. A 280-minute teaching in four lessons was arranged for 205 students from ten selected Grade 4 classes in three primary schools at Hong Kong. The Scratch-based pedagogy “To Play and Learn, To Think and Navigate, To Code”–supplementary with four Scratch games and four Scratch activity worksheets–was trialed for engaging students in Scratch coding to explore, think about, apply and consolidate English Language building blocks for talking about locations and directions. The pre-post-test results provide statistically significant evidence that students can advance all three topic-specific knowledge points and all four target CT concepts after learning under the designed pedagogy. The questionnaire survey results reveal the impact of the designed pedagogy on students’ growing awareness of the two target CT practices, and their growing confidence in coding. The focus group interview results reveal students’ confirmation on their success in and satisfaction with the designed pedagogy for developing English Language knowledge and CT competency through coding. This study validates that the pedagogical innovation of learning through coding is potential to foster the co-development of subject knowledge and CT competency in Grade 4 English Language classrooms. Future directions of integrating coding activities into senior primary curriculum are discussed. Copyright © 2022 Asia Pacific Society for Computers in Education.

Maker education is regarded as a global initiative. Empowering STEM makers in schools becomes an important task for K-12 educators. Creativity, critical thinking, STEM identity, and STEM interest are all vital attributes of a good STEM maker. While researchers have proposed various pedagogical approaches to supporting the processes of STEM making, rare studies have been carried out to compare the effectiveness of these approaches. To fill the research gap, we have conducted a quasi-experimental study (with 63 secondary school students in Hong Kong) to explore the pedagogical effects of mentoring and authentic problem-solving strategies in supporting STEM making. Implications for the development of maker education and future work are also discussed in this paper. Copyright © 2021 Publication of Asia Pacific Society for Computers in Education.

This study examined the processes that contributed to students’ aspirations for STEM careers and unpacked the relationships between students’ self-concept in science and mathematics learning, perceived parental expectations, perceptions of STEM professionals, career outcome expectations and STEM career aspirations. Structural equation modelling was used to analyse quantitative survey data of 2,477 primary and secondary school students studying in seven Asian regions (Hong Kong, Malaysia, Mainland China, Indonesia, Korea, Taiwan, and Singapore). The results demonstrated that students’ self-concept, perceptions of STEM professionals, and their career outcome expectations all significantly and positively predicted their aspirations for STEM careers. However, this study failed to establish a direct relationship or positive correlation between perceived parental expectations and STEM career aspirations. Students’ self-concept negatively predicted their career outcome expectations related to seeking parental approval. While no significant positive effects of perceived parental expectations on career aspirations were found, an indirect effect of perceived parental expectations on STEM career aspirations via career outcome expectations was observed. Moreover, career outcome expectations mediated the relationships between students’ STEM career aspirations and their perceptions of STEM professionals more strongly than self-concept. The implications of these results for STEM education are discussed. Copyright © 2024 National Institute of Education, Singapore.

In this article, we use the family resemblance approach as a framework to contribute to the debate about the similarities and differences between the constituent disciplines of STEAM (science, technology, engineering, arts and mathematics) and to explore the implications for education. The family resemblance approach has been used in science education in various ways, for instance, in teacher education and undergraduate teaching and as an analytical tool for examining science curricula and assessments. The relevant sense of application of the family resemblance approach for our purposes in this article is that it is a framework that has the potential to differentiate the disciplines underpinning STEAM. We explore the utility of the family resemblance approach for clarifying what is meant by the nature of STEAM and, subsequently, we elaborate on some practical examples drawn from a project conducted in Hong Kong with Year 7 (12–13-year-old) students to illustrate how the use of the family resemblance approach can help articulate a contrast of nature of science and the arts in school activities. Copyright © 2024 Sibel Erduran and Kason Ka Ching Cheung.